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In recent years, the wireless body area network (WBAN) has become a heated topic in research, but its quality of service (QoS) has not received enough attention. The two operation modes of IEEE802.15.4 are analyzed, and the slotted CSMA/CA mechanism is found more suitable for the WBAN. With the simulation tool OPNET the network delays are proved to change in accordance with the parameter values of...
Incorporating cognitive radio technology into wire-less sensor networks enables the sensor nodes to use the idle channels to meet their communication demands, but the spectrum sensing process inevitably brings extra energy consumption. Since cognitive sensor nodes are generally low-powered with limited batteries, we consider a novel spectrum sensing scheme with combined clustering and censoring for...
There is a big error in the classic DV-Hop localization algorithm in average hop distance and unknown point coordinates. We propose an improved DV-Hop location algorithm, by improving the average hop distance and introducing a checkout algorithm in the second and third stages of the classic DV-Hop localization algorithm, to improve the position accuracy. The MATLAB simulation shows that in the same...
Wireless Sensor Networks (WSN) consists of independent sensors distributed across different locations, which are used to continuously record the environmental or physical conditions. The recorded data will be passed through the network from a sensor to a main location. Sensors life time is based on the battery power. Lower the battery power leads to decrease in lifetime for a sensor. It is important...
In wireless networks, the capability of sensing the received power variation on wireless channel is named as channel sensing capability (CSC). However, as wireless networks become increasingly dense, it decreases the reliability of multiuser transmission if only CSC is simply used for indicating channel state. Thus, in this paper, a novel conception named as neighbor channel sensing capability (NCSC)...
Both network connectivity and hidden terminal effects play a significant role in topology design of wireless sensor networks. In this paper, we present a joint analysis of the two issues. Lots of simulation studies are carried out to investigate the effects of network scale and transmitting range on the two issues. Based on the simulation results, we propose a reasonable and suitable empirical formula...
The design of measurement matrices is one of the key contents of the compressed sensing (CS) theory. This paper constructs a new dual-structured measurement matrix-unit array + random matrix, by combining the advantages of the random measurement matrices with high recovery probability and the structured measurement matrices of low storage. The experiments show that the reconstruction errors can be...
Spatially unbalanced energy consumption among sensors is the most important issue in Wireless Sensor Networks (WSNs). This uneven energy consumption can significantly reduce network lifetime. The use of sink mobility with constrained paths and decreasing the message flood by limiting the flood area can help to improve the energy efficiency in WSNs. Maximum Amount Shortest Path routing (MASP) is an...
Wireless sensor networks (WSNs) are currently adopted in a vast variety of domains. Due to practical energy constraints, in this field minimizing sensor energy consumption is a critical challenge. Sleep scheduling approaches give the opportunity of turning off a subset of the nodes of a network— without suspending the monitoring activities performed by the WSN—in order to save energy and increase...
In this paper, cooperative spectrum sensing based censored energy detection is considered in order to improve the accuracy of the decision made about the spectrum availability. Proposed two witnesses fusion rule is used to derive a spectrum sensing final decision. However, the accuracy of this decision cannot be ensured unless the best choice of the two decision thresholds is made such that the probabilities...
There are many applications for which location information plays a crucial role. Finding location information by a sensor node is called the localization problem. The major challenge is to determine the location of unknown nodes based on the known location of other nodes. In this paper, a range-free localization scheme based on fuzzy-logic approach has been proposed. The localization scheme uses the...
Data gathering in an energy efficient and timely manner is one of the fundamental tasks of wireless sensor network (WSN). Applications where continual monitoring of inhabitable deployment area over a considerable time is required calls for proactive hierarchical data routing protocols. One of them i.e. PEGASIS routing protocol suffers from data redundancy and latency. This paper presents an enhanced...
In this paper we propose a greedy probabilistic approach for localization in Wireless Sensors Network (WSN). This topic has received much attention since the WSN are considered as the basis in the emerging area of Internet of Things (IoT). The proposed method aims at increasing the performance of the grid based Compressed Sensing (CS) localization algorithm. This latter is based on the sparse nature...
This research aims to represent the ZigBee mesh routing and the performance under simulation environment for smart home. In the realistic smart home, researcher does not get some of the analysis and results. Hence, we designed and developed ZigBee best virtual smart home environment on Qualnet simulator. Finally, we suggest mixed-mode simulation methodology that integrates the smart home environment...
A distributed energy detection scheme that exploits the spatial-temporal correlation is proposed for heterogeneous cognitive radio (CR) sensor network. We first use the weighted centroid algorithm to localize the position of the PU. Then according to the localization result, selective measurement combining for weighted average consensus is adopted to fuse the energy detection outputs of only homogeneous...
The use of hierarchical structure in a wireless sensor network such as the Smart Grid can significantly improve monitoring networks through the use of data aggregation techniques. This reduces the processing at the central server as well as allowing for localized processing and decision-making at the nodes. However, existing routing protocols such as LEACH suffer from limited support for upstream...
Over the last decade, the level of critical infrastructure technology has been steadily transforming in order to keep pace with the growing demand for the services offered. The implementation of the smart grid, which relies on a complex and intelligent level of interconnectivity, is one example of how vital amenity provision is being refined. However, with this change, the risk of threats from the...
Design complex embedded systems demands method and tools that allow the simulation and verification in an efficient and practical way. This paper proposes the development and evaluation of a distributed simulation platform of heterogeneous simulators based on High Level Architecture (HLA), a middleware for distributed discrete event simulation, in order to create an environment with high-performance...
In Wireless Sensor Networks, Sensors are generally battery powered devices. This networks is used to gather various kinds of information to Base station (BS). They consist of computational power, storage capacity, energy supply are the important issues in their energy constraint. To maximize the network lifetime, we need not only to minimize total energy consumption and also balance WSN load. In this...
Wireless Sensor Network (WSN) consists of hundreds of sensor nodes, which are tiny, low cost, low power radio devices. These nodes are dedicated to perform certain functions such as sensing the environment, collecting the sensed data from the surrounding area, processing those data and send the information to the observer. One of the major challenges in WSN is to cover the desired area which is used...
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